BACKGROUNDThe identification of infection in diabetic foot ulcers (DFUs) is challenging due to variability within classes, visual similarity between classes, reduced contrast with healthy skin, and presence of artifacts. Existing studies focus on visual characteristics and tissue classification rather than infection detection, critical for assessing DFUs and predicting amputation risk.OBJECTIVETo address these challenges, this study proposes a deep learning model using a hybrid CNN and Swin Transformer architecture for infection classification in DFU images. The aim is to leverage end-to-end mapping without prior knowledge, integrating local and global feature extraction to improve detection accuracy.METHODSThe proposed model utilizes a hybrid CNN and Swin Transformer architecture. It employs the Grad CAM technique to visualize the decision-making process of the CNN and Transformer blocks. The DFUC Challenge dataset is used for training and evaluation, emphasizing the model's ability to accurately classify DFU images into infected and non-infected categories.RESULTSThe model achieves high performance metrics: sensitivity (95.98%), specificity (97.08%), accuracy (96.52%), and Matthews Correlation Coefficient (0.93). These results indicate the model's effectiveness in quickly diagnosing DFU infections, highlighting its potential as a valuable tool for medical professionals.CONCLUSIONThe hybrid CNN and Swin Transformer architecture effectively combines strengths from both models, enabling accurate classification of DFU images as infected or non-infected, even in complex scenarios. The use of Grad CAM provides insights into the model's decision process, aiding in identifying infected regions within DFU images. This approach shows promise for enhancing clinical assessment and management of DFU infections.
{"title":"SwinDFU-Net: Deep learning transformer network for infection identification in diabetic foot ulcer.","authors":"Sumithra M G,Chandran Venkatesan","doi":"10.3233/thc-241444","DOIUrl":"https://doi.org/10.3233/thc-241444","url":null,"abstract":"BACKGROUNDThe identification of infection in diabetic foot ulcers (DFUs) is challenging due to variability within classes, visual similarity between classes, reduced contrast with healthy skin, and presence of artifacts. Existing studies focus on visual characteristics and tissue classification rather than infection detection, critical for assessing DFUs and predicting amputation risk.OBJECTIVETo address these challenges, this study proposes a deep learning model using a hybrid CNN and Swin Transformer architecture for infection classification in DFU images. The aim is to leverage end-to-end mapping without prior knowledge, integrating local and global feature extraction to improve detection accuracy.METHODSThe proposed model utilizes a hybrid CNN and Swin Transformer architecture. It employs the Grad CAM technique to visualize the decision-making process of the CNN and Transformer blocks. The DFUC Challenge dataset is used for training and evaluation, emphasizing the model's ability to accurately classify DFU images into infected and non-infected categories.RESULTSThe model achieves high performance metrics: sensitivity (95.98%), specificity (97.08%), accuracy (96.52%), and Matthews Correlation Coefficient (0.93). These results indicate the model's effectiveness in quickly diagnosing DFU infections, highlighting its potential as a valuable tool for medical professionals.CONCLUSIONThe hybrid CNN and Swin Transformer architecture effectively combines strengths from both models, enabling accurate classification of DFU images as infected or non-infected, even in complex scenarios. The use of Grad CAM provides insights into the model's decision process, aiding in identifying infected regions within DFU images. This approach shows promise for enhancing clinical assessment and management of DFU infections.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"20 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hui Su,Xiaoyang Lan,Ya Cao,Mingjie Zhang,Xiaoyan Chen,Chen Lan
BACKGROUNDEpidural blood patch (EBP) is a minimally invasive and effective treatment for spontaneous intracranial hypotension (SIH). But, cervical epidural blood patch for SIH has little attention.OBJECTIVEIn this study, The clinical data was recorded and the treatment efficacy and safety of cervical EBP in SIH were evaluated.METHODS: Fifty-nine cases of intractable SIH were examined by computed tomography (CT) guided cervical EBP at the Chinese PLA General Hospital from August 2014 to March 2024.RESULTSThe mean age of the fifty-nine patients at symptom onset was 40.8 ± 9.5 years. 54/59 (91.5%) patients experienced orthostatic headache. Preoperative spine T2 sacns with extensive fluid collection at the upper cervical region in 43/46 (93.5%). 45/59 (76.3%) patients had symptomatic relief with initial cervical EBP, and 14/59 (23.7%) patients received further cervical EBPs. In the first one to three days following the EBP procedure, 11 (18.6%) patients reported pain at the puncture site and 15 (25.4%) experienced neck pain. No other complications were observed during or after the procedure. At the latest follow-up, all patients showed good recovery. The mean follow-up was 28.9 ± 22.7 months.CONCLUSIONCT-guided cervical EBP is a effective and safe treatment for patients with intractable SIH, especially in patients who had extensive fluid collection at the upper cervical region.
{"title":"Cervical epidural blood patch treatment is a choice for spontaneous intracranial hypotension.","authors":"Hui Su,Xiaoyang Lan,Ya Cao,Mingjie Zhang,Xiaoyan Chen,Chen Lan","doi":"10.3233/thc-241366","DOIUrl":"https://doi.org/10.3233/thc-241366","url":null,"abstract":"BACKGROUNDEpidural blood patch (EBP) is a minimally invasive and effective treatment for spontaneous intracranial hypotension (SIH). But, cervical epidural blood patch for SIH has little attention.OBJECTIVEIn this study, The clinical data was recorded and the treatment efficacy and safety of cervical EBP in SIH were evaluated.METHODS: Fifty-nine cases of intractable SIH were examined by computed tomography (CT) guided cervical EBP at the Chinese PLA General Hospital from August 2014 to March 2024.RESULTSThe mean age of the fifty-nine patients at symptom onset was 40.8 ± 9.5 years. 54/59 (91.5%) patients experienced orthostatic headache. Preoperative spine T2 sacns with extensive fluid collection at the upper cervical region in 43/46 (93.5%). 45/59 (76.3%) patients had symptomatic relief with initial cervical EBP, and 14/59 (23.7%) patients received further cervical EBPs. In the first one to three days following the EBP procedure, 11 (18.6%) patients reported pain at the puncture site and 15 (25.4%) experienced neck pain. No other complications were observed during or after the procedure. At the latest follow-up, all patients showed good recovery. The mean follow-up was 28.9 ± 22.7 months.CONCLUSIONCT-guided cervical EBP is a effective and safe treatment for patients with intractable SIH, especially in patients who had extensive fluid collection at the upper cervical region.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"35 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDA daily activity routine is vital for overall health and well-being, supporting physical and mental fitness. Consistent physical activity is linked to a multitude of benefits for the body, mind, and emotions, playing a key role in raising a healthy lifestyle. The use of wearable devices has become essential in the realm of health and fitness, facilitating the monitoring of daily activities. While convolutional neural networks (CNN) have proven effective, challenges remain in quickly adapting to a variety of activities.OBJECTIVEThis study aimed to develop a model for precise recognition of human activities to revolutionize health monitoring by integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.METHODSThe Human Activity Recognition (HAR) algorithm uses deep learning to classify human activities using spectrogram data. It uses a pretrained convolution neural network (CNN) with a MobileNetV2 model to extract features, a dense residual transformer network (DRTN), and a multi-head multi-level attention architecture (MH-MLA) to capture time-related patterns. The model then blends information from both layers through an adaptive attention mechanism and uses a SoftMax function to provide classification probabilities for various human activities.RESULTSThe integrated approach, combining pretrained CNN with transformer models to create a thorough and effective system for recognizing human activities from spectrogram data, outperformed these methods in various datasets - HARTH, KU-HAR, and HuGaDB produced accuracies of 92.81%, 97.98%, and 95.32%, respectively. This suggests that the integration of diverse methodologies yields good results in capturing nuanced human activities across different activities. The comparison analysis showed that the integrated system consistently performs better for dynamic human activity recognition datasets.CONCLUSIONIn conclusion, maintaining a routine of daily activities is crucial for overall health and well-being. Regular physical activity contributes substantially to a healthy lifestyle, benefiting both the body and the mind. The integration of wearable devices has simplified the monitoring of daily routines. This research introduces an innovative approach to human activity recognition, combining the CNN model with a dense residual transformer network (DRTN) with multi-head multi-level attention (MH-MLA) within the transformer architecture to enhance its capability.
{"title":"Revolutionizing health monitoring: Integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.","authors":"Anandhavalli Muniasamy","doi":"10.3233/thc-241064","DOIUrl":"https://doi.org/10.3233/thc-241064","url":null,"abstract":"BACKGROUNDA daily activity routine is vital for overall health and well-being, supporting physical and mental fitness. Consistent physical activity is linked to a multitude of benefits for the body, mind, and emotions, playing a key role in raising a healthy lifestyle. The use of wearable devices has become essential in the realm of health and fitness, facilitating the monitoring of daily activities. While convolutional neural networks (CNN) have proven effective, challenges remain in quickly adapting to a variety of activities.OBJECTIVEThis study aimed to develop a model for precise recognition of human activities to revolutionize health monitoring by integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.METHODSThe Human Activity Recognition (HAR) algorithm uses deep learning to classify human activities using spectrogram data. It uses a pretrained convolution neural network (CNN) with a MobileNetV2 model to extract features, a dense residual transformer network (DRTN), and a multi-head multi-level attention architecture (MH-MLA) to capture time-related patterns. The model then blends information from both layers through an adaptive attention mechanism and uses a SoftMax function to provide classification probabilities for various human activities.RESULTSThe integrated approach, combining pretrained CNN with transformer models to create a thorough and effective system for recognizing human activities from spectrogram data, outperformed these methods in various datasets - HARTH, KU-HAR, and HuGaDB produced accuracies of 92.81%, 97.98%, and 95.32%, respectively. This suggests that the integration of diverse methodologies yields good results in capturing nuanced human activities across different activities. The comparison analysis showed that the integrated system consistently performs better for dynamic human activity recognition datasets.CONCLUSIONIn conclusion, maintaining a routine of daily activities is crucial for overall health and well-being. Regular physical activity contributes substantially to a healthy lifestyle, benefiting both the body and the mind. The integration of wearable devices has simplified the monitoring of daily routines. This research introduces an innovative approach to human activity recognition, combining the CNN model with a dense residual transformer network (DRTN) with multi-head multi-level attention (MH-MLA) within the transformer architecture to enhance its capability.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"27 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Leukemia is a cancer that develops in the bone marrow and blood that is brought on by an excessive generation of abnormal white blood cells. This disease damages deoxyribonucleic acid (DNA), which is associated with immature cells, particularly white blood cells. It is time-consuming and requires enhanced accuracy for radiologists to diagnose acute leukemia cells.
Objective: To overcome this issue, we have studied the use of a novel proposed LEU-EHO NET.
Methods: LEU-EHO NET has been proposed for classifying blood smear images based on leukemia-free and leukemia-infected images. Initially, the input blood smear images are pre-processed using two techniques: normalization and cropping black edges in images. The pre-processed images are then subjected to MobileNet for feature extraction. After that, Elephant Herding Optimization (EHO) is used to select the relevant feature from the retrieved characteristics. Finally, Faster RCNN is trained with the selected features to perform the classification task and discriminate between Normal and Abnormal.
Results: The total accuracy of the proposed LEU-EHO NET is 99.30%. The proposed LEU-EHO NET model enhances the overall accuracy by 0.69%, 16.21%, 1.10%, 1.71%, and 1.38% better than Inception v3 XGBoost, VGGNet, DNN, SVM and MobilenetV2 respectively.
Conclusion: The approach needs to be improved so that overlapped cells can be segmented more accurately. Additionally, future work might improve classification accuracy by utilizing different deep learning models.
背景介绍白血病是一种发生在骨髓和血液中的癌症，由异常白细胞的过度生成引起。这种疾病会破坏脱氧核糖核酸（DNA），而脱氧核糖核酸与未成熟细胞尤其是白细胞有关。放射科医生诊断急性白血病细胞既费时又需要更高的准确性：为了解决这一问题，我们研究了一种新型 LEU-EHO NET 的使用方法：方法：LEU-EHO NET 是一种基于无白血病和白血病感染图像的血涂片图像分类方法。首先，使用两种技术对输入的血涂片图像进行预处理：归一化和裁剪图像中的黑边。然后，将预处理后的图像交由 MobileNet 进行特征提取。然后，使用大象放牧优化（EHO）从检索到的特征中选择相关特征。最后，利用选定的特征训练 Faster RCNN，以执行分类任务并区分正常和异常：结果：提议的 LEU-EHO NET 的总准确率为 99.30%。与 Inception v3 XGBoost、VGGNet、DNN、SVM 和 MobilenetV2 相比，拟议的 LEU-EHO NET 模型分别提高了 0.69%、16.21%、1.10%、1.71% 和 1.38%：该方法有待改进，以便更准确地分割重叠的细胞。此外，未来的工作可能会利用不同的深度学习模型来提高分类的准确性。
{"title":"Elephant herding optimized features-based fast RCNN for classifying leukemia stages.","authors":"Della Reasa Valiaveetil, Kanimozhi T","doi":"10.3233/THC-240750","DOIUrl":"https://doi.org/10.3233/THC-240750","url":null,"abstract":"<p><strong>Background: </strong>Leukemia is a cancer that develops in the bone marrow and blood that is brought on by an excessive generation of abnormal white blood cells. This disease damages deoxyribonucleic acid (DNA), which is associated with immature cells, particularly white blood cells. It is time-consuming and requires enhanced accuracy for radiologists to diagnose acute leukemia cells.</p><p><strong>Objective: </strong>To overcome this issue, we have studied the use of a novel proposed LEU-EHO NET.</p><p><strong>Methods: </strong>LEU-EHO NET has been proposed for classifying blood smear images based on leukemia-free and leukemia-infected images. Initially, the input blood smear images are pre-processed using two techniques: normalization and cropping black edges in images. The pre-processed images are then subjected to MobileNet for feature extraction. After that, Elephant Herding Optimization (EHO) is used to select the relevant feature from the retrieved characteristics. Finally, Faster RCNN is trained with the selected features to perform the classification task and discriminate between Normal and Abnormal.</p><p><strong>Results: </strong>The total accuracy of the proposed LEU-EHO NET is 99.30%. The proposed LEU-EHO NET model enhances the overall accuracy by 0.69%, 16.21%, 1.10%, 1.71%, and 1.38% better than Inception v3 XGBoost, VGGNet, DNN, SVM and MobilenetV2 respectively.</p><p><strong>Conclusion: </strong>The approach needs to be improved so that overlapped cells can be segmented more accurately. Additionally, future work might improve classification accuracy by utilizing different deep learning models.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142562982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanping Ji,Qingbin Ding,Tianyi Bu,Kun Wang,Jing Zhang,Xue Wang
BACKGROUNDCirrhosis is one of the most common clinical diseases in the world. The patient with cirrhosis has many complications, such as spontaneous peritonitis, hepatic encephalopathy. Malnutrition is one of the most common complications in patients with cirrhosis, and it is also a key factor affecting the prognosis of patients. However, the research on cirrhosis malnutrition is relatively scarce.OBJECTIVEThis study aimed to explore the new factors of the liver cirrhosis with the nutritional status.METHODSA total of 370 patients with liver cirrhosis were admitted to the Fourth Affiliated Hospital of Harbin Medical University from January 2019 to January 2023 were selected. Patients were assigned to the malnourished group and normal group. The weight, height, mid arm circumference (MAC) and triceps skinfold thickness (TSF) of the two groups were measured. Body mass index (BMI) and mid-arm muscle circumference (MAMC) were calculated. Furthermore, the Health Literacy Management Scale (HeLMS), biochemical indexes, incidence of complications, disease grade were also counted and the Royal Free Hospital-Nutrition Prioritization Tool were used to evaluate the nutritional status of the patient.RESULTSA total of 370 patients was included in this study, including 177 malnutrition patients, accounting for 45.29%, and the scores and total scores of the patients in the malnutrition group were lower than those in the normal group. The measured values of Na+, Alb, PA, T-Bil, TC, TLC, Hb, and RBC were all lower than those of the normal group, and the difference was statistically significant. The overall complication rate of the patients in the malnourished group was 89.61%, and that of the normal group was 39.78%. Multifactorial logistic regression analysis was performed with nutritional level as the dependent variable (normal = 0, malnutrition = 1), and the above indicators of variability (Na+, Alb, PA, T-Bil, TC, PT, Hb, RBC, HG, and HeLMS scores) as the independent variables. The results showed that Na+, Hb were the influencing factors of nutritional level (P< 0.05).CONCLUSIONThe incidence of malnutrition in cirrhotic patients included in this study was at a moderate level, and the nutritional literacy of these patients was low. In addition, the level of serum sodium, Hemoglobin can affect the nutritional level of patients with cirrhosis.
{"title":"Assessing the risk factors associated with nutritional status in patients with liver cirrhosis: A case-control study.","authors":"Yanping Ji,Qingbin Ding,Tianyi Bu,Kun Wang,Jing Zhang,Xue Wang","doi":"10.3233/thc-241180","DOIUrl":"https://doi.org/10.3233/thc-241180","url":null,"abstract":"BACKGROUNDCirrhosis is one of the most common clinical diseases in the world. The patient with cirrhosis has many complications, such as spontaneous peritonitis, hepatic encephalopathy. Malnutrition is one of the most common complications in patients with cirrhosis, and it is also a key factor affecting the prognosis of patients. However, the research on cirrhosis malnutrition is relatively scarce.OBJECTIVEThis study aimed to explore the new factors of the liver cirrhosis with the nutritional status.METHODSA total of 370 patients with liver cirrhosis were admitted to the Fourth Affiliated Hospital of Harbin Medical University from January 2019 to January 2023 were selected. Patients were assigned to the malnourished group and normal group. The weight, height, mid arm circumference (MAC) and triceps skinfold thickness (TSF) of the two groups were measured. Body mass index (BMI) and mid-arm muscle circumference (MAMC) were calculated. Furthermore, the Health Literacy Management Scale (HeLMS), biochemical indexes, incidence of complications, disease grade were also counted and the Royal Free Hospital-Nutrition Prioritization Tool were used to evaluate the nutritional status of the patient.RESULTSA total of 370 patients was included in this study, including 177 malnutrition patients, accounting for 45.29%, and the scores and total scores of the patients in the malnutrition group were lower than those in the normal group. The measured values of Na+, Alb, PA, T-Bil, TC, TLC, Hb, and RBC were all lower than those of the normal group, and the difference was statistically significant. The overall complication rate of the patients in the malnourished group was 89.61%, and that of the normal group was 39.78%. Multifactorial logistic regression analysis was performed with nutritional level as the dependent variable (normal = 0, malnutrition = 1), and the above indicators of variability (Na+, Alb, PA, T-Bil, TC, PT, Hb, RBC, HG, and HeLMS scores) as the independent variables. The results showed that Na+, Hb were the influencing factors of nutritional level (P< 0.05).CONCLUSIONThe incidence of malnutrition in cirrhotic patients included in this study was at a moderate level, and the nutritional literacy of these patients was low. In addition, the level of serum sodium, Hemoglobin can affect the nutritional level of patients with cirrhosis.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"54 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biyan Fei,Lili Zhan,Jingqi Gou,Yanping Wu,Haili Sun
BACKGROUNDDiscussed based on the network interactive platform of structured care for patients with chronic renal failure (CRF) in the process of hemodialysis.OBJECTIVEThis study seeks to elucidate the application value of structured nursing, deployed through network interaction platforms, in sustaining patients undergoing maintenance hemodialysis.METHODSA total of 62 patients diagnosed with Chronic Renal Failure (CRF) between April 2022 and August 2023 were randomly allocated into two distinct care groups: conventional and structured nursing care based on a web-interactive platform. Both cohorts were comparatively analyzed with respect to psychological states, quality of life within therapeutic interventions, and relationships with complications. Renal function indicators, including Creatinine Clearance (Ccr), Serum Creatinine (SCr), and Blood Urea Nitrogen (BUN), were subjected to Pearson analysis to appraise their predictive value in prognostication, while Receiver Operating Characteristic (ROC) curve analysis was constructed to further discern their diagnostic precision.RESULTSPost-intervention, notable improvements were observed in the emotional states of patients in both cohorts, with the structured care group exhibiting significantly lower Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) scores (p< 0.05). Furthermore, patients under the web-interactive structured nursing regimen demonstrated superior overall adherence, a reduced incidence rate of complications, and markedly higher scores in quality of life assessments compared to those under conventional care (p< 0.05). The derived cut-off values for Ccr, SCr, and BUN were 32.5 ml/min, 251.5 umol/L, and 14.5 mmol/L, respectively, with sensitivities and specificities pegged at 0.645% and 0.645% for Ccr, 0.774% and 0.548% for SCr, and 0.774% and 0.774% for BUN. The corresponding areas under the ROC curve (AUC) for each parameter were 0.816, 0.653, and 0.856, respectively.CONCLUSIONComprehensive hemodialysis care for patients with chronic renal failure can improve self-care ability to improve quality of life and reduce the incidence of complications, which has great potential for clinical progress and is worthy of further research.
{"title":"Exploring the efficacy of structured nursing via web-based interaction platforms in sustaining hemodialysis patients.","authors":"Biyan Fei,Lili Zhan,Jingqi Gou,Yanping Wu,Haili Sun","doi":"10.3233/thc-241021","DOIUrl":"https://doi.org/10.3233/thc-241021","url":null,"abstract":"BACKGROUNDDiscussed based on the network interactive platform of structured care for patients with chronic renal failure (CRF) in the process of hemodialysis.OBJECTIVEThis study seeks to elucidate the application value of structured nursing, deployed through network interaction platforms, in sustaining patients undergoing maintenance hemodialysis.METHODSA total of 62 patients diagnosed with Chronic Renal Failure (CRF) between April 2022 and August 2023 were randomly allocated into two distinct care groups: conventional and structured nursing care based on a web-interactive platform. Both cohorts were comparatively analyzed with respect to psychological states, quality of life within therapeutic interventions, and relationships with complications. Renal function indicators, including Creatinine Clearance (Ccr), Serum Creatinine (SCr), and Blood Urea Nitrogen (BUN), were subjected to Pearson analysis to appraise their predictive value in prognostication, while Receiver Operating Characteristic (ROC) curve analysis was constructed to further discern their diagnostic precision.RESULTSPost-intervention, notable improvements were observed in the emotional states of patients in both cohorts, with the structured care group exhibiting significantly lower Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) scores (p< 0.05). Furthermore, patients under the web-interactive structured nursing regimen demonstrated superior overall adherence, a reduced incidence rate of complications, and markedly higher scores in quality of life assessments compared to those under conventional care (p< 0.05). The derived cut-off values for Ccr, SCr, and BUN were 32.5 ml/min, 251.5 umol/L, and 14.5 mmol/L, respectively, with sensitivities and specificities pegged at 0.645% and 0.645% for Ccr, 0.774% and 0.548% for SCr, and 0.774% and 0.774% for BUN. The corresponding areas under the ROC curve (AUC) for each parameter were 0.816, 0.653, and 0.856, respectively.CONCLUSIONComprehensive hemodialysis care for patients with chronic renal failure can improve self-care ability to improve quality of life and reduce the incidence of complications, which has great potential for clinical progress and is worthy of further research.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"30 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Song,Ruihong Lan,Dahua Yin,Ling Wang,Humin Gong
BACKGROUNDFolic acid supplementation has been shown to provide benefits in preventing neural tube defects and other birth defects, as well as reducing adverse pregnancy outcomes.OBJECTIVEThis study aimed to examine the impact of various folic acid supplementation methods on pregnancy.METHODSTaqMan-MGB technology was used to detect polymorphisms in the folate metabolism-related genes, MTHFR C677T and A1298C. Blood-related biochemical indicators, including HCY levels and history of adverse pregnancy, were examined in relation to different exposure factors (MTHFR gene polymorphism, HCY levels, and adverse pregnancy history) and their impact on pregnancy outcomes. Various forms of folic acid intervention were implemented in a population with an adverse pregnancy history and high HCY levels to analyze the effects of reducing HCY levels and improving pregnancy outcomes.RESULTSExposure factors, such as adverse pregnancy history, HCY, and medium-to-high risk of gene metabolism, were closely associated with pregnancy outcomes. Interestingly, methylfolate efficiently reduced the serum HCY levels. More importantly, the methylfolate group exhibited a significantly lower incidence of adverse pregnancies than the synthetic folic acid group.CONCLUSIONIn this study, the risk factors, including adverse pregnancy history, HCY, and medium-to-high risk of gene metabolism, were confirmed to lead to the poorer pregnancy outcomes in our cohort. 5-methyltetrahydrofolate may be an effective approach for decreasing the incidence of adverse pregnancy outcomes.
{"title":"Influence of different forms of folic acid supplementation on pregnancy outcomes under various exposure factors.","authors":"Jie Song,Ruihong Lan,Dahua Yin,Ling Wang,Humin Gong","doi":"10.3233/thc-241034","DOIUrl":"https://doi.org/10.3233/thc-241034","url":null,"abstract":"BACKGROUNDFolic acid supplementation has been shown to provide benefits in preventing neural tube defects and other birth defects, as well as reducing adverse pregnancy outcomes.OBJECTIVEThis study aimed to examine the impact of various folic acid supplementation methods on pregnancy.METHODSTaqMan-MGB technology was used to detect polymorphisms in the folate metabolism-related genes, MTHFR C677T and A1298C. Blood-related biochemical indicators, including HCY levels and history of adverse pregnancy, were examined in relation to different exposure factors (MTHFR gene polymorphism, HCY levels, and adverse pregnancy history) and their impact on pregnancy outcomes. Various forms of folic acid intervention were implemented in a population with an adverse pregnancy history and high HCY levels to analyze the effects of reducing HCY levels and improving pregnancy outcomes.RESULTSExposure factors, such as adverse pregnancy history, HCY, and medium-to-high risk of gene metabolism, were closely associated with pregnancy outcomes. Interestingly, methylfolate efficiently reduced the serum HCY levels. More importantly, the methylfolate group exhibited a significantly lower incidence of adverse pregnancies than the synthetic folic acid group.CONCLUSIONIn this study, the risk factors, including adverse pregnancy history, HCY, and medium-to-high risk of gene metabolism, were confirmed to lead to the poorer pregnancy outcomes in our cohort. 5-methyltetrahydrofolate may be an effective approach for decreasing the incidence of adverse pregnancy outcomes.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"48 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDThe relationship between metabolically healthy obesity (MHO) and cardiovascular disease (CVD) risk remains debated. The critical point may be the lack of consensus on MHO's definition and diagnostic criteria.OBJECTIVEThis study aimed to investigate the association of MHO status with arteriosclerosis-CVD (ASCVD) risk in Chinese under new diagnostic criteria.METHODSParticipants aged 35-79 in the 2009 China Health and Nutrition Survey cohort were included. The 10-year ASCVD risk was predicted by the prediction for ASCVD risk in China, and participants with a predicted risk of ⩾ 10% were classified into the high-risk group. The Bayesian network (BN) models were constructed to characterize the multivariable probabilistic connections between metabolically obesity phenotypes and ASCVD risk.RESULTSThe 10-year ASCVD risk score and the proportion of individuals at ASCVD high risk were significantly different between metabolically obesity phenotypes (P< 0.001). BN reasoning results showed that MHO individuals were not significantly associated with a 10-year ASCVD risk. Among metabolically unhealthy individuals, the conditional probability of high ASCVD risk increased with the Body Mass Index (BMI), with the conditional probability of high ASCVD risk was 24.63% (95% CI: 22.81-26.55%), 32.97% (95% CI: 30.75-35.27%) and 40.2% (95% CI: 36.64-43.86%) for metabolically unhealthy normal weight (MUNW), metabolically healthy overweight weight (MHOW), and metabolically unhealthy obesity (MUO) group, respectively. Subgroup analysis showed that MHO individuals were at increased risk of CVD compared with metabolically healthy normal weight (MHNW) individuals only in females.CONCLUSIONThese results showed that there was no significant increase in ASCVD risk of MHO phenotype based on the new diagnostic criteria, suggesting that MHO is in a relatively healthy state.
{"title":"A Bayesian network analysis of the probabilistic relationships between metabolically healthy obesity and cardiovascular disease risk under new diagnostic criteria.","authors":"Shuo Chen,Peixian Wu,Weiqun Peng,Hongai Zhang","doi":"10.3233/thc-241472","DOIUrl":"https://doi.org/10.3233/thc-241472","url":null,"abstract":"BACKGROUNDThe relationship between metabolically healthy obesity (MHO) and cardiovascular disease (CVD) risk remains debated. The critical point may be the lack of consensus on MHO's definition and diagnostic criteria.OBJECTIVEThis study aimed to investigate the association of MHO status with arteriosclerosis-CVD (ASCVD) risk in Chinese under new diagnostic criteria.METHODSParticipants aged 35-79 in the 2009 China Health and Nutrition Survey cohort were included. The 10-year ASCVD risk was predicted by the prediction for ASCVD risk in China, and participants with a predicted risk of ⩾ 10% were classified into the high-risk group. The Bayesian network (BN) models were constructed to characterize the multivariable probabilistic connections between metabolically obesity phenotypes and ASCVD risk.RESULTSThe 10-year ASCVD risk score and the proportion of individuals at ASCVD high risk were significantly different between metabolically obesity phenotypes (P< 0.001). BN reasoning results showed that MHO individuals were not significantly associated with a 10-year ASCVD risk. Among metabolically unhealthy individuals, the conditional probability of high ASCVD risk increased with the Body Mass Index (BMI), with the conditional probability of high ASCVD risk was 24.63% (95% CI: 22.81-26.55%), 32.97% (95% CI: 30.75-35.27%) and 40.2% (95% CI: 36.64-43.86%) for metabolically unhealthy normal weight (MUNW), metabolically healthy overweight weight (MHOW), and metabolically unhealthy obesity (MUO) group, respectively. Subgroup analysis showed that MHO individuals were at increased risk of CVD compared with metabolically healthy normal weight (MHNW) individuals only in females.CONCLUSIONThese results showed that there was no significant increase in ASCVD risk of MHO phenotype based on the new diagnostic criteria, suggesting that MHO is in a relatively healthy state.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"43 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDDental pulpitis significantly impacts oral function and quality of life. Treatments like direct pulp capping aim to preserve pulp vitality.OBJECTIVEThis study aims to investigate the application value of Nd:YAG laser irradiation in preserving pulp vitality in children with caries-induced pulpitis.METHODSThis study, conducted from June 2019 to June 2023, included 89 children undergoing pulp vitality preservation treatment for caries-induced pulpitis. The children were divided into two groups using sealed envelopes: 44 in the control group received pulp capping treatment, while the study group received Nd:YAG laser-assisted pulp capping treatment. The efficacy, oral indicators, oral function, changes in root apex diameter and root length, changes in gingival crevicular fluid inflammatory factors, and incidence of complications were compared between the two groups before and 3 months after treatment.RESULTSThe total effective rates were 97.78% in the study group and 95.45% in the control group, with no significant difference between the groups (p> 0.05). Before treatment, there were no differences in gingival index, plaque index, and probing bleeding index between the groups (p> 0.05). After treatment, both groups showed decreased periodontal indexes compared to before treatment, with the study group showing lower values than the control group (p< 0.05). Chewing and biting function scores were similar between the groups before and after treatment (p> 0.05), but both groups showed decreased scores after treatment (p< 0.05). The study group had a higher percentage decrease in root apex diameter and a greater increase in root length compared to the control group (p< 0.05). During treatment, one case of tooth discoloration occurred in the study group (2.27%), while the control group had two cases of tooth discoloration and one case of secondary caries, resulting in a complication rate of 6.67%. There was no significant difference in the incidence of complications between the groups (p> 0.05).CONCLUSIONNd:YAG laser irradiation effectively preserves pulp vitality in children with caries-induced pulpitis, improving periodontal health, reducing root apex diameter, and increasing root length with high safety.
{"title":"Nd: YAG laser irradiation in the treatment of live pulp preservation in pediatric cariogenic pulpitis.","authors":"Mengxing Wang,Tian Xia,Ying Wang","doi":"10.3233/thc-241233","DOIUrl":"https://doi.org/10.3233/thc-241233","url":null,"abstract":"BACKGROUNDDental pulpitis significantly impacts oral function and quality of life. Treatments like direct pulp capping aim to preserve pulp vitality.OBJECTIVEThis study aims to investigate the application value of Nd:YAG laser irradiation in preserving pulp vitality in children with caries-induced pulpitis.METHODSThis study, conducted from June 2019 to June 2023, included 89 children undergoing pulp vitality preservation treatment for caries-induced pulpitis. The children were divided into two groups using sealed envelopes: 44 in the control group received pulp capping treatment, while the study group received Nd:YAG laser-assisted pulp capping treatment. The efficacy, oral indicators, oral function, changes in root apex diameter and root length, changes in gingival crevicular fluid inflammatory factors, and incidence of complications were compared between the two groups before and 3 months after treatment.RESULTSThe total effective rates were 97.78% in the study group and 95.45% in the control group, with no significant difference between the groups (p> 0.05). Before treatment, there were no differences in gingival index, plaque index, and probing bleeding index between the groups (p> 0.05). After treatment, both groups showed decreased periodontal indexes compared to before treatment, with the study group showing lower values than the control group (p< 0.05). Chewing and biting function scores were similar between the groups before and after treatment (p> 0.05), but both groups showed decreased scores after treatment (p< 0.05). The study group had a higher percentage decrease in root apex diameter and a greater increase in root length compared to the control group (p< 0.05). During treatment, one case of tooth discoloration occurred in the study group (2.27%), while the control group had two cases of tooth discoloration and one case of secondary caries, resulting in a complication rate of 6.67%. There was no significant difference in the incidence of complications between the groups (p> 0.05).CONCLUSIONNd:YAG laser irradiation effectively preserves pulp vitality in children with caries-induced pulpitis, improving periodontal health, reducing root apex diameter, and increasing root length with high safety.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"47 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDStress urinary incontinence (SUI), a prevalent condition among middle-aged and elderly women in China, is characterized by the involuntary leakage of urine during instances of increased abdominal pressure [1]. Although SUI is not life-threatening, it substantially impacts patients' physical and psychological well-being, impairs their social interactions, and diminishes their overall quality of life.OBJECTIVEThe aim of this study was to evaluate and compare the clinical efficacy of tension-free vaginal tape-ischiopubic ramus (TVT-IR) and transobturator tension-free vaginal tape (TVT-O) in the treatment of female stress urinary incontinence (SUI).METHODSA retrospective analysis of clinical data from 83 female SUI patients was conducted, dividing them into a TVT-IR group (n= 41) and a TVT-O group (n= 42) based on the surgical procedures employed. Perioperative indices, surgical efficacy, complications, symptom improvement pre- and post-operation (3 months), urodynamic measurements, and indices related to pelvic floor function and quality of life were compared between the two groups.RESULTSThe TVT-IR group had significantly shorter operative time than the TVT-O group (P< 0.05). Three months after surgery, both groups had significantly lower frequency of incontinence, incontinence score, and number of nocturnal urination, significantly higher Pdet, ALPP, Qmax, and MUCP, significantly higher class I and class II fiber muscle strength and muscle potential, and significantly higher I-QOL scores (P< 0.05). The aforementioned indicators were superior in the TVT-IR group compared to the TVT-O group three months after surgery (P< 0.05).CONCLUSIONBoth TVT-IR and TVT-O are effective in treating SUI, with comparable complication rates.
{"title":"Clinical efficacy of tension-free vaginal tape-ischiopubic ramus versus transobturator tension-free vaginal tape in the management of female stress urinary incontinence.","authors":"Yingqing Ruan,Ping Liu,Minjie Qiu","doi":"10.3233/thc-241247","DOIUrl":"https://doi.org/10.3233/thc-241247","url":null,"abstract":"BACKGROUNDStress urinary incontinence (SUI), a prevalent condition among middle-aged and elderly women in China, is characterized by the involuntary leakage of urine during instances of increased abdominal pressure [1]. Although SUI is not life-threatening, it substantially impacts patients' physical and psychological well-being, impairs their social interactions, and diminishes their overall quality of life.OBJECTIVEThe aim of this study was to evaluate and compare the clinical efficacy of tension-free vaginal tape-ischiopubic ramus (TVT-IR) and transobturator tension-free vaginal tape (TVT-O) in the treatment of female stress urinary incontinence (SUI).METHODSA retrospective analysis of clinical data from 83 female SUI patients was conducted, dividing them into a TVT-IR group (n= 41) and a TVT-O group (n= 42) based on the surgical procedures employed. Perioperative indices, surgical efficacy, complications, symptom improvement pre- and post-operation (3 months), urodynamic measurements, and indices related to pelvic floor function and quality of life were compared between the two groups.RESULTSThe TVT-IR group had significantly shorter operative time than the TVT-O group (P< 0.05). Three months after surgery, both groups had significantly lower frequency of incontinence, incontinence score, and number of nocturnal urination, significantly higher Pdet, ALPP, Qmax, and MUCP, significantly higher class I and class II fiber muscle strength and muscle potential, and significantly higher I-QOL scores (P< 0.05). The aforementioned indicators were superior in the TVT-IR group compared to the TVT-O group three months after surgery (P< 0.05).CONCLUSIONBoth TVT-IR and TVT-O are effective in treating SUI, with comparable complication rates.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"94 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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